PDH.stat is a re-branded version of “.Stat Suite”, the SDMX-based statistical indicator platform built by the Organisation for Economic Co-operation and Development (OECD) through the Statistical Information System Collaboration Community. This platform replaces, and expands on the very popular, yet outdated National Minimum Development Indicator (NMDI) database which was established to report on Pacific development indicators including the Millennium Development Goals (MDGs).
PDH.stat is hosted under the Pacific Data Hub (PDH). The Pacific Data Hub architecture is designed to accommodate data or links to data from relevant governments, Non-governmental organisations, Intergovernmental organisations, academic institutes, think-tanks and other organisations with data and interests in the Pacific. New regional initiatives established by partners have the option of publishing their data through the PDH instead of standing up their own bespoke portals, hubs or websites. The data can be made accessible through either open data licensing agreements, or where appropriate confidential or restricted data agreements.
What is SDMX?
SDMX, which stands for Statistical Data and Metadata eXchange is an international initiative that aims at standardising and modernising (“industrialising”) the mechanisms and processes for the exchange of statistical data and metadata among international organisations and their member countries.
Features of PDH.stat architecture:
- stores stuctured SDMX datasets,
- thorough metadata on datasets and individual indicators,
- powerful API allows machine-to-machine access to all datasets in the database enabling development partners, researchers and other, users to programatically extract information.
Features of PDH.stat explorer/browser interface:
- find datasets with free-text search, fine-tune search results through context-specific filters (facets) for topics and relevant data dimensions, and download an entire dataset,
- preview and download multi-dimensional tables and charts, and
- share created tables and charts in blogs and social media, or embed them dynamically in web pages.